Six Sigma: Black Belt
Master Black Belt tools to lead data-driven improvements
Six Sigma: Black Belt is an online course taught by Dr. Richard Chua that focuses on advanced Six Sigma methodologies for leading high-impact process-improvement initiatives.
The course emphasizes the DMAIC roadmap and advanced statistical techniques—measurement system analysis, hypothesis testing, design of experiments, response surface methods, and statistical process control—to build measurable competency in project leadership and data-driven problem solving for experienced practitioners.
At a Glance
Six Sigma: Black Belt is an online professional course that teaches advanced Six Sigma methodologies for leading process-improvement projects.
It is taught by Dr. Richard Chua and covers the DMAIC roadmap plus statistical tools such as measurement system analysis, hypothesis testing, design of experiments including response surface methods, process capability analysis, and statistical process control.
| Level | Intermediate to Advanced (assumes Green Belt prerequisites) |
| Rating | 4.8 out of 5 |
| Duration | 2+ hours |
| Languages | English |
| Certificate | Certificate of Completion (shareable on LinkedIn) |
| Access | Access while your LinkedIn Learning subscription is active (free trial available) |
| Course includes |
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| Price | Subscription-based (monthly or annual plans); free trial often available |
What This Course Teaches
Outcomes are presented as measurable competencies so learners can apply statistical tools and project leadership to real process-improvement work.
By course end, learners should be able to apply the DMAIC roadmap, perform measurement system analysis, design and analyze experiments, implement SPC, and display verified improvements in process capability.
How the Course Is Structured
The course is organized into 36 short video lessons grouped across seven main sections from Introduction through Conclusion, and it runs approximately 2 hours 29 minutes in total.
Lectures are focused, mostly short-format videos arranged under the DMAIC phase headings (Define, Measure, Analyze, Improve, Control) plus introductory and concluding material.
Curriculum overview
01Welcome to Six Sigma: Black Belt▾
02The Six Sigma roadmap▾
03Six Sigma certification information▾
04Exercise files▾
05Overview of the Six Sigma Define phase▾
06Overview of the Six Sigma Measure phase▾
07Process flow metrics▾
08Six Sigma data sample sizes▾
09Key terms for measurement system▾
10Conduct measurement system analysis▾
11Measurement system analysis (MSA)▾
12Process capability for continuous data▾
13Overview of the Six Sigma Analyze phase▾
14Hypothesis testing roadmap▾
15Sample size determination▾
16Confidence intervals▾
17Test for normality▾
18Compare variances▾
19T-tests▾
20ANOVA test▾
21Contingency tables▾
22Nonparametric tests▾
23Correlation in Six Sigma projects▾
24Linear regression▾
25Multiple regression▾
26Overview of the Six Sigma Improve phase▾
27Two-level fractional factorial experiments▾
28Full factorial experiments▾
29DOE with curvature▾
30Response surface methods▾
31Overview of the Six Sigma Control phase▾
32SPC chart selection▾
33SPC chart analysis▾
34Display improved process capability▾
35Conclusion▾
36Next steps▾
Audience & Requirements
Designed for experienced Six Sigma practitioners, quality engineers, operations managers, and consultants who lead or sponsor process-improvement projects.
Learners should already have Green Belt–level training and familiarity with DMAIC and basic statistical concepts; this course builds on that foundation to prepare candidates for Black Belt responsibilities.
- Quality engineers and process-improvement specialists aiming for Black Belt roles.
- Operations managers and team leads responsible for end-to-end process improvements.
- Practitioners preparing for formal Six Sigma Black Belt certification or exam prep.
- Consultants and analysts who apply statistical methods to operational problems.
- Prior completion of a Six Sigma Green Belt course or equivalent practical experience.
- Comfort with core statistics (hypothesis testing, confidence intervals, regression).
- Familiarity with statistical software is recommended (Minitab experience is specifically useful).
Final Verdict
Overall, this course is worth taking for experienced practitioners who need a concise, practical Black Belt–level refresher delivered by a recognized instructor on a widely used subscription platform.
Its strong learner reception, shareable certificate, and subscription-based access make it a cost-effective choice for quality engineers, operations leaders, and certification candidates who already have Green Belt–level knowledge and want targeted statistical and project-leadership skill reinforcement.
Beginners or those seeking an extensive, hands-on Black Belt program with long-term project supervision should consider supplementing this course with more project-centered or multi-week training before attempting formal certification.
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